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numerical simulation of models for magnetised fluids. About us This position sits right between two research groups at Chalmers: the Plasma Theory group at the Department of Physics and the Geometry and
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-energy nuclear theory (arXiv category: nucl-th). Organizationally we are part of the division of Subatomic, High-Energy and Plasma Physics within the Department of Physics. We have a strong international
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internationally recognized team at Chalmers University of Technology and contribute to cutting-edge research in particle physics and quantum field theory, while collaborating with leading experts worldwide. About
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questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations
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. You have a strong background in hydrodynamics and ship manoeuvring. You should also have a good understanding of control theory and optimization. Additional requirements: Knowledge of maritime transport
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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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the local and distant universe. You will join a vibrant and collaborative research environment that combines observations, theory, and data-intensive methods to explore key processes shaping galaxies and
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investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division conducts research on acceleration
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apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a
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We are looking for a postdoctoral researcher who wants to contribute to the development of next-generation frameworks for resilient power grids. In this role, you will combine theory and